This package contains reader functions to load common spatial omics formats into SpatialData. Currently, we provide support for:
Note: all mentioned technologies are registered trademarks of their respective companies.
Please refer to the documentation. In particular, the
You need to have Python 3.8 or newer installed on your system. If you don't have Python installed, we recommend installing Miniconda.
There are several alternative options to install spatialdata-io:
spatialdata-io from PyPI:pip install spatialdata-io
pip install git+https://github.com/scverse/spatialdata-io.git@main
For questions and help requests, you can reach out in the scverse discourse. If you found a bug, please use the issue tracker.
Technologies that can be read into SpatialData objects using third-party libraries:
This library is community maintained and is not officially endorsed by the aforementioned spatial technology companies. As such, we cannot offer any warranty of the correctness of the representation. Furthermore, we cannot ensure the correctness of the readers for every data version as the technologies evolve and update their formats. If you find a bug or notice a misrepresentation of the data please report it via our Bug Tracking System so that it can be addressed either by the maintainers of this library or by the community.
Marconato, L., Palla, G., Yamauchi, K.A. et al. SpatialData: an open and universal data framework for spatial omics. Nat Methods (2024). https://doi.org/10.1038/s41592-024-02212-x
FAQs
SpatialData IO for common techs
We found that spatialdata-io demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
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